• 산업공학
• /
• 제24권4호
• /
• pp.447-456
• /
• 2011

Identifying the major moving patterns of shoppers' movements in the selling floor has been a longstanding issue in the retailing industry. With the advent of RFID technology, it has been easier to collect the moving data for a individual shopper's movement. Most of the previous studies used the traditional clustering technique to identify the major moving pattern of customers. However, in using clustering technique, due to the spatial constraint (aisle layout or other physical obstructions in the store), standard clustering methods are not feasible for moving data like shopping path should be adjusted for the analysis in advance, which is time-consuming and causes data distortion. To alleviate this problems, we propose a new approach to spatial pattern clustering based on longest common subsequence (LCSS). Experimental results using the real data obtained from a grocery in Seoul show that the proposed method performs well in finding the hot spot and dead spot as well as in finding the major path patterns of customer movements.

• 한국정보시스템학회지:정보시스템연구
• /
• 제31권4호
• /
• pp.25-45
• /
• 2022

Purpose In this paper, we propose the method to extend topic modeling techniques in order to derive data-based research hypotheses when establishing research hypotheses for social sciences, As a concept in contrast to the existing deductive hypothesis establishment methodology for the social science research, the topic modeling technique was expanded to enable the so-called inductive hypothesis establishment methodology, and an analysis case of the Seongsan Ilchulbong online review based on the proposed methodology was presented. Design/methodology/approach In this paper, an extension architecture and extension algorithm in the form of extending the existing topic modeling were proposed. The extended architecture and algorithm include data processing method based on topic ratio in document, correlation analysis and regression analysis of processed data for topics derived by existing topic modeling. In addition, in this paper, an analysis case of the online review of Seongsan Ilchulbong Peak was presented by applying the extended topic modeling algorithm. An exploratory analysis was performed on the Seongsan Ilchulbong online reviews through the basic text analysis. The data was transformed into 5-point scale to enable correlation and regression analysis based on the topic ratio in each online review. A regression analysis was performed using the derived topics as the independent variable and the review rating as the dependent variable, and hypotheses could be derived based on this, which enable the so-called inductive hypothesis establishment. Findings This paper is meaningful in that it confirmed the possibility of deriving a causal model and setting an inductive hypothesis through an extended analysis of topic modeling.

• 한국경영정보학회:학술대회논문집
• /
• 한국경영정보학회 2007년도 추계학술대회
• /
• pp.453-459
• /
• 2007

The mobile telecommunication sector is increasingly gathering way becoming a key area for the economic development in Uzbekistan. One way to promote competition among providers is the introduction of a number portability service. This paper estimates subscriber's willingness to pay (WTP) for the MNP service in the mobile communication market in Uzbekistan. Consumer valuation was estimated using a conjoint analysis. Since number portability had not been introduced at the time of the study, stated preference data from the conjoint survey was used. Results indicate that currently subscribers do not attach a lot of importance to the MNP service, while price and service quality are most valuable components. The results of this study provide important implication for mobile network operators and policy developers on potential MNP implementation.

• 한국의류학회지
• /
• 제25권3호
• /
• pp.586-597
• /
• 2001

EThe purpose of this study was to investigate the relationships of consumers psychological characteristics, store types and impulse buying behaviors of apparels. We collected data from 469 consumers of women college student living in Pusan and analysed by factor analysis, frequency analysis, correlation analysis, t-test and $\chi$$^2$-test. The results were as follows: First, The sensation seeking tendency consisted of the Change seeking, Risk seeking, Artistic seeking, Curiosity seeking and Unusual seeking. The exploratory behavior of apparels were divided into six factors; Particularity exploration, Innovation exploration, Store exploration, Brand royalty exploration, interpersonal exploration and brand-seeking exploration. Second, In comparison with the unimpulse-buying group, the impulse-buying group intended more then Change seeking, when apparel explored, Particularity exploration, Innovation exploration and Brand exploration. Impulse-buying group preferred the department store, unimpulse-buying group did the specialty store.

• 품질경영학회지
• /
• 제39권4호
• /
• pp.556-564
• /
• 2011

The purpose of this study is to analyze the effect of service quality characteristics on customer satisfaction in complex shopping mall. For the purpose of this study, we defined three service quality characteristics of complex shopping mall by correlation, harmony, synergy effect, and analyzed the effect of these quality factors on customer satisfaction. For the analysis of the data, we used exploratory factor analysis and the confirmatory factor analysis and the structural equation modeling method(AMOS 19.0). As the result of this study, we concluded that 2 of 3 service quality characteristics deeply affect on customer satisfaction in complex shopping mall, and suggest that the activation of the quality factors is needed to raise the customer satisfaction.

• 농촌지도와개발
• /
• 제26권2호
• /
• pp.57-68
• /
• 2019

This paper was done as an exploratory study aiming to identify the relationship between small group characteristic factors and perceived performance in the Village Development Committee (VDC) in Saemaul Undong project in Laos. The data were gathered from 166 members in 17 VDCs in Vientian province, however 135 questionnaires were used in analysis. Structure Equation Model was applied in the analysis with Amos 21. The major finding of this study were as follows; firstly decision making was more influenced by task cohesion than social cohesion, secondly organizational citizen behavior was influenced by both task cohesion and social cohesion. However, social cohesion had more influence than task cohesion, thirdly the VDC members learned their technical knowledge from decision-making process, and influenced to their perceived performance level and to VDC sustainablity, and fourthly in overall, committee members implemented their jobs based on task-oriented.

• 정보교육학회논문지
• /
• 제26권5호
• /
• pp.417-425
• /
• 2022

2022년 8월 교육부 국무회의에서 보고된 '디지털 인재 양성 종합방안'은 SW교육, AI교육을 중심으로 한 정보교육의 질적, 양적 확대를 골자로 하고 있다. 인공지능 시대가 도래함에 따라 데이터 과학 교육 또한 정보교육의 한 분야로 주목받고 있다. 데이터 과학은 본래 다양한 학문이 융합된 분야이며 데이터 분석 및 모델링, 머신러닝 등에 고도화된 기술이 활용되고 있다. 본 연구에서는 문헌연구 및 선행연구 분석을 통해 데이터 과학 교육의 수업모형 초안을 구안하고 사용성 평가 및 전문가 검증을 통해 최종 수업모형을 개발하였다. 탐색적 데이터 분석, 확증적 데이터 분석과 같이 데이터 과학의 요소에서 교육 효과를 기대할 수 있는 다양한 학습요소를 학습 단계에 구성하는 등 데이터 과학 교육의 구체적인 방안을 제시하였다는 데 의의가 있다.

• The Journal of Asian Finance, Economics and Business
• /
• 제7권12호
• /
• pp.1035-1043
• /
• 2020

Project manager plays a very important role in the success of any project. The primary duty of the project manager is to combine the outcomes or results of the various processes and activities of project management into a systematic project management strategy or plan for the project. In the construction industry, a lack of motivation is an urgent problem for many project managers in construction and engineering projects. Lack of motivation affects the quality and productivity of jobs, reducing profits and growth for companies, businesses, contractors or organizations that rely on human resources. The reasons for this lack of motivation are diverse ranging from salary to culture to life and working environment, among others. Through surveys and data analysis using Cronbach's Alpha reliability and EFA (Exploratory Factor Analysis), our research scaled the factors affecting work motivation of project managers in the construction industry in Vietnam. The research results identified six major groups of relevant factors including (i) salary and benefits, (ii) work environment, (iii) promotion opportunities, (iv) organizational culture, (v) interest in the job, and (vi) relationship with the organization. From there, this paper contributed useful information as well as measures for businesses, companies, contractors or organizations in the construction industry.

• 대한간호학회지
• /
• 제48권1호
• /
• pp.38-49
• /
• 2018

Purpose: This study aimed to develop an instrument to assess the quality of childbirth care from the perspective of a mother after delivery. Methods: The instrument was developed from a literature review, interviews, and item validation. Thirty-eight items were compiled for the instrument. The data for validity and reliability testing were collected using a questionnaire survey conducted on 270 women who had undergone normal vaginal delivery in Korea and analyzed with descriptive statistics, exploratory factor analysis, and reliability coefficients. Results: The exploratory factor analysis reduced the number of items in the instrument to 28 items that were factored into four subscales: family-centered care, personal care, emotional empowerment, and information provision. With respect to convergence validation, there was positive correlation between this instrument and birth satisfaction scale (r=.34, p<.001). The internal consistency reliability was acceptable (Cronbach's alpha =.96). Conclusion: This instrument could be used as a measure of the quality of nursing care for women who have a normal vaginal delivery.

• Journal of Preventive Medicine and Public Health
• /
• 제38권3호
• /
• pp.298-306
• /
• 2005

Objectives : To develop measurement scales of Internet addiction, and propose a Korean Internet Addiction Index (K-IAI) and classification criteria for Internet addiction from the threshold scores developed. Methods : The identification of the concept of 'Internet addiction' was based on the literature review. To select the scales, an exploratory factor analysis was applied. A construct validation was tested by a confirmatory factor analysis (CFA) with a structured equation model (SEM). In testing the validity of the classification criteria, ANOVA and non-recursive models with SEM were applied. Results : Out of 1,080 questionnaires distributed, 1,037 were returned,; a response rate of 96%. The Cronbach-$\alpha$ of all items was over 0.75. Using an exploratory factor analysis in the condition of a 6 factor constrain as the study model proposed, 23 of the initial 28 items were identified. In testing the discriminant and convergent validity of the selected 23 scales using CFA with SEM, the Internet addiction model explained about 93% of all variances of the data collected, and all the latent variables significantly explained the designated scales. A K-IAI was proposed using the T-scores of the sum of all factor averages. In the classification of users, the basic concept was a twostandard deviation approach of the K-IAI as the criteria of MMPI. The addiction group had a score ${\geq}70$ in the K-IAI, the pre-addiction group between ${\geq}50$ and <70, and the average user group <50. The Internet use times of the classified groups were statistically different in the ANOVA and multiple comparisons. Conclusions : The K-IAI is a reliable and valid instrument for measuring Internet addiction. Moreover, the taxonomy of the groups was also verified using various methods.